{"id":"W4403040241","doi":"10.1007/978-3-031-60415-7_1","title":"Incorporating Social Costs and Benefits into Decision-Making for On-Reserve Infrastructure","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Calgary; University of Saskatchewan","funders":"","keywords":"Business; Environmental economics; Computer science; Environmental planning; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002178115,0.000870257,0.0007676198,0.0006157726,0.0001341893,0.0002113579,0.000288027,0.001087853,0.0000684265],"category_scores_gemma":[0.0004328307,0.0008757436,0.0002141376,0.0001794233,0.00006156483,0.0001543699,0.000167083,0.001652672,0.000003508698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094455,"about_ca_system_score_gemma":0.00006446442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008923345,"about_ca_topic_score_gemma":0.0008969348,"domain_scores_codex":[0.9978067,0.000005920413,0.0006299444,0.0006843213,0.0003347778,0.0005383696],"domain_scores_gemma":[0.9981288,0.001241288,0.00008123582,0.0003500842,0.00009814191,0.0001004818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003653241,0.00000335468,0.00004877737,0.001742782,0.000147937,0.00003506964,0.0006915344,0.8383933,0.00006447239,0.04959609,0.0002885227,0.1089517],"study_design_scores_gemma":[0.0004553719,0.0001154993,0.0002608192,0.002639738,0.00009351882,0.00002715676,0.00001662536,0.1851584,0.0001017635,0.7972267,0.01254174,0.001362596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01823761,0.02467734,0.8436164,0.0005972598,0.007525152,0.004194422,0.0005654859,0.002999678,0.09758668],"genre_scores_gemma":[0.9890255,0.00006550542,0.009121759,0.00008818474,0.001104394,0.00006255993,0.00005597415,0.000350894,0.0001251884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9707879,"threshold_uncertainty_score":0.9993693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006411946101232097,"score_gpt":0.2248293096257691,"score_spread":0.218417363524537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}